quantitative-research

What problem does it solve?

量化因子研究、数据清洗与对齐、Alpha 评估（IC/IR）、过拟合与稳健性检验。在用户讨论因子挖掘、截面/时序信号、机器学习特征或量化研报框架时启用。

Core Features & Use Cases

• Design and evaluate factors across value, momentum, quality, low-volatility, and alternative data.
• Ensure proper data alignment, handling lookahead biases, and robust evaluation metrics (IC, IR, rank IC, decays).
• Validate robustness with out-of-sample tests, rolling windows, and parameter sensitivity analyses.
• Use-case: When discussing factor mining or factor-based alpha frameworks, enable the skill to guide the workflow and documentation.

Quick Start

Define your research objective and data pipeline, then start the factor analysis workflow to generate IC/IR reports.